AI to Z – all the terms of AI

AI تا Z

Artificial intelligence (AI) is becoming ever more prevalent in our lives. It’s no longer confined to certain industries or research institutions; AI is now for everyone.

TermDefinition
AlgorithmA set of instructions given to a computer to solve a problem or perform calculations.
Alignment problemThe discrepancy between intended objectives for an AI system and its actual output.
Artificial General Intelligence (AGI)Hypothetical point in the future where AI is expected to match or surpass human cognitive capabilities.
Artificial Neural Network (ANN)Computer algorithms used in deep learning, made up of interconnected nodes that mimic the brain’s neural circuitry.
Big dataDatasets that are much more massive and complex than traditional data.
Chinese RoomA thought experiment arguing that a computer program can never be conscious or truly understand its behavior.
Deep learningA category of machine learning that uses advanced neural networks to achieve higher accuracy.
Diffusion modelAn AI model that learns by adding random noise to training data and assessing differences.
Explainable AIMethods for increasing transparency and users’ trust in AI systems.
Generative AIAI systems that generate new content in response to prompts.
LabellingCategorizing data points to help an AI model make sense of the data.
Large Language Model (LLM)AI models trained on massive quantities of unlabelled text, producing human-like responses.
Machine learningTraining AI systems to analyze data, learn patterns, and make predictions without specific human instruction.
Natural language processing (NLP)The broader AI field focusing on machines’ ability to learn, understand, and produce human language.
ParametersSettings used to tune machine-learning models.
Responsible AIDeveloping and deploying AI systems in a human-centered way, adhering to ethical principles.
Sentiment analysisIdentifying and interpreting the emotions behind a text.
Supervised learningUsing labeled data to train an algorithm to make predictions.
Training dataData used to teach AI systems how to make predictions.
TransformerA type of deep-learning model used primarily in natural language processing tasks.
Turing testA machine intelligence concept to determine if a computer can exhibit human intelligence.
Unsupervised learningAlgorithms trained on unlabelled data to explore patterns and discover unidentified patterns for further analysis.
terms of AI
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